Understanding the behavior of asset prices is essential in evaluating investment decisions so that practitioners and academics have been investigating what assets are worth and whether asset prices are predictable. The degree of stock return predictability is a statistical concept and totally an empirical issue. In this study, we conduct an empirical application on the equity premium forecastability concept. We consider both macroeconomic and technical indicators in order to predict the equity risk premiums of selected thirteen stock markets including Belgium, Greece, Malaysia, Mexico, Portugal, Spain, Taiwan, Turkey, Brazil, Hong-Kong, India, Russia, and South Africa. Incorporating information from all indicators including domestic and foreign macroeconomic indicators, oil price changes, and technical indicators provides in-sample fitting gains. Out-of-sample forecasting results show that the strategy of combining forecasts provides out-of-sample gains. Portfolio performance analyses suggests following the forecasts generated by the proposed models to obtain positive returns over the buy-and-hold strategy.

SMEs have been recognized as important actors of commercial activity most specifically since the second half of the 20th century. Although understanding its customer potential has been named a top priority among many sectors, there is a limited body of knowledge regarding the buying behaviour of SME’s. Many studies and industry practices frame the context within corporate or individual buying behaviour, however few researchers mention SME’s. When mentioned they tend to tie with elitist attributes and consider them as small versions of big enterprises. Studies and industry practices are conformist and assume that SME’s buying behaviour consists of nothing but -ignoring impulsive tendencies- ‘normative’ or ‘conservative’ typologies. However, the lack of application makes this dichotomy untested, which is also what this book aims to scrutinize.